Who's Who of AI

Yoshitomo Matsubara

136 trust @yoshitomo-matsubara.net · 1,530 followers

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Directory member with public evidence across Vision & synthetic media, AI research, Compute & infrastructure.

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Latest signal: 21d ago

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Research Scientist at Yahoo! / ML OSS developer PhD in Computer Science at UC Irvine Research: ML, NLP, Computer Vision, Information Retrieval Technical Chair: ECCV'26 CVPR'26 WACV'26 ICCV'25 Open Source/Science matters! https://yoshitomo-matsubara.net

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Articles & links

I released torchdistill v1.1.5 last week - Reimplemented "Streamlined Knowledge Distillation" method - trackio / wandb support - FSDP/FSDP2 support - "accumulation mode" for forward hook manager and more github.com/yoshitomo-ma...

Release A new KD method, FSDP/FSDP2 support, and experiment tracking · yoshitomo-matsubara/torchdistill github.com

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View on Bluesky · ♥ 6 ↻ 1 ↩ 1 · 2 from the directory shared this · 21d ago

↻ Yoshitomo Matsubara reposted

@eccv.bsky.social

Thank you to all our #ECCV2026 reviewers. Special thanks to the Outstanding Reviewers for their exceptional contributions! 👏 eccv.ecva.net/Conferences/...

Program Committee eccv.ecva.net View on Bluesky →

↻ Yoshitomo Matsubara reposted

@wacvconference.bsky.social

WACV 2027 R1 reviews are underway. Reviewers — thank you for your time. Authors — decisions land Aug 8, then rebuttals through Aug 20. Round 2 window: register Aug 20, submit Aug 27 (AoE). wacv.thecvf.com/Conferences/... #WACV2027 #ComputerVision

Call for Papers wacv.thecvf.com View on Bluesky →

Their own posts

Recent commentary

Call for emergency reviewers #NeurIPS2026 I'm looking for two emergency reviewers: - Multimodal (text + vision) benchmark - AI for Science (text-focused) benchmark If you have experience in either domains, send me a DM including your OpenReview profile and Google Scholar links

View on Bluesky · ♥ 4 ↻ 5 ↩ 0 · 56d ago

Attending #CVPR2026 Hit me up if you want to discuss peer-review systems (suggestion/feedback), knowledge distillation, or ML OSS

View on Bluesky · ♥ 4 ↻ 0 ↩ 0 · 90d ago

Came up w/ a crazy idea from #NeurIPS2026 complaints Create "AI-permissive" and "Legacy/Classic" tracks, expanding the idea of ICML'26 review policy The latter uses "AI-content" detectors w/ thresholds tuned to maximize recall for papers and reviews, and takes strong actions (DR, ban, etc) WDYT?

View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 42d ago

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